Tpsddmatlaabh

信息类专业信号与系统课程实验报告,包含卷积,滤波器分析等.(Information Specialty Signals and Systems course experiment report, including convolution, filter analysis.)

WGS84到北京54的MATLAB编程的坐标转换(WGS84 to Beijing 54 coordinate transformation of the MATLAB programming)

power system analysis- load flow analysis ppt

基于GRNN神经网络的货运量预测matlab代码(freight volume forecast based on GRNN neural network)

灰狼优化算法，内附matlab程序与出处论文(Grey Wolf optimization algorithm with matlab program and source paper)

barker码产生的源程序，用matlab编写而成(err)

说明：  支持向量机程序使用实例：通过实例演示怎样使用支持向量机(Support vector machine uses examples: an example how to use the support vector machine)

control of motor in matlab simulink

最优化算法中的带有Wolf搜索求步长的拟牛顿算法求最优值的源码，matlab编程实现，希望对大家有用。(Optimization algorithm with Wolf to the search requirements step quasi-Newton algorithms to find the optimal value of the source code, Matlab programming, and hope to be useful.)

说明：  EKF仅仅利用了非线性函数Taylor展开式的一阶偏导部分（忽略高阶项），常常导致在状态的后验分布的估计上产生较大的误差，影响滤波算法的性能，从而影响整个跟踪系统的性能。最近，在自适应滤波领域又出现了新的算法——无味变换Kalman滤波器（Unscented Kalman Filter-UKF）。UKF的思想不同于EKF滤波，它通过设计少量的σ点，由σ点经由非线性函数的传播，计算出随机向量一、二阶统计特性的传播。因此它比EKF滤波能更好地迫近状态方程的非线性特性，从而比EKF滤波具有更高的估计精度。 (EKF only uses non-linear function of the first-order Taylor expansion of some partial derivatives (ignoring higher order terms), often leading to the posterior distribution of the state estimates to generate large errors affect the performance of filtering algorithms, which affect the whole tracking system performance. Recently, the field of adaptive filtering algorithms and the emergence of new- and tasteless transform Kalman filter (Unscented Kalman Filter-UKF). EKF UKF filter is different from the idea that it points through the design of a small amount of σ by σ point spread through the nonlinear function to calculate the random vector first and second order statistical properties of the transmission. Therefore it is better than the EKF filter nonlinear characteristics equation of state approach, which is more than the EKF filter estimation accuracy.)